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首页> 外文期刊>IEEE Transactions on Geoscience and Remote Sensing >Rainfall Fields Monitoring Based on Satellite Microwave Down-Links and Traditional Techniques in the City of Genoa
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Rainfall Fields Monitoring Based on Satellite Microwave Down-Links and Traditional Techniques in the City of Genoa

机译:基于卫星微波的降雨场监测和热流市的卫星微波和传统技术

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This article compares different rainfall observing techniques available in the City of Genoa (Italy): the Ligurian regional tipping-bucket rain gauge (TBRG) network and the Monte Settepani long-range weather radar (WR) operated by the Ligurian Regional Environmental Protection Agency (ARPAL) and Smart Rainfall System (SRS), a network of microwave sensors for satellite down-links developed by the University of Genoa and Artys Srl. SRS and WR are the two indirect monitoring systems considered in this analysis. The respective performance of the rainfall measurements was assessed by comparison with the reference observations made in situ by seven TBRG stations selected within the boundary of the City of Genoa. The analysis was performed by considering the main precipitation events that occurred between January 2017 and December 2018. The results show an agreement between the precision of the 10-min rainfall intensity (RI) measurements, quantified by the root mean square errors (RMSEs), made by the WR and the SRS system for the seven sites. Similar performance has been also observed when comparing the peak of RI and the total rain accumulation with the reference TBRG values for the selected precipitation events. An assessment of the WR and SRS accuracy in providing the 2-D RI fields was also performed by computing the map of the RMSE differences over the City of Genoa territory. It is shown that the SRS RI maps are generally associated with a lower level of RMSE with respect to the WR in the areas that are characterized by a higher density of sensors.
机译:本文将不同的降雨观测技术与热那亚市(意大利)(意大利)(意大利)提供不同的降雨观测技术:利古里亚地区拔费桶雨量仪(TBRG)网络和由利古里亚地区环境保护局运营的蒙特拉彭长期气象雷达(WR)( ARPAL)和智能降雨系统(SRS),由热那亚大学和艺术家SRL开发的卫星向下链路的微波传感器网络。 SRS和WR是该分析中考虑的两个间接监测系统。通过与在Genoa城市边界内选择的七个TBRG站的参考观察进行评估,评估降雨测量的各自性能。通过考虑2017年1月至2018年12月期间发生的主要降水事件来进行分析。结果表明,通过根均线误差(RMSE)量化的10分钟降雨强度(RI)测量的精度之间的协议。由WR和SRS系统为七个站点制作。在比较RI的峰值和具有所选降水事件的参考TBRG值的参考TBRG值时也观察到类似的性能。通过计算在热那亚城市城市的RMSE差异的地图,还执行了对提供二维RI场的WR和SRS准确性的评估。结果表明,SRS RI映射通常与相对于具有更高密度的传感器的区域中的WR较低的RMSE。

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